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Philippe J. Deschamps

Personal Details

First Name:Philippe
Middle Name:J.
Last Name:Deschamps
Suffix:
RePEc Short-ID:pde159
[This author has chosen not to make the email address public]

Affiliation

Departement für Quantitative Wirtschaftsforschung
Faculté des sciences économiques et sociales - Wirtschafts- und Sozialwissenschaftliche Fakultät
Université de Fribourg - Universität Freiburg

Fribourg/Freiburg, Switzerland
http://www.unifr.ch/dqe/
RePEc:edi:dqefrch (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," LIDAM Discussion Papers CORE 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  3. Deschamps, P. J., 1997. "Full maximum likelihood estimation of dynamic demand models," LIDAM Reprints CORE 1291, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  4. Deschamps, P. J., 1996. "Monte Carlo methodology for LM and LR autocorrelation tests in multivariate regression," LIDAM Reprints CORE 1234, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  5. DESCHAMPS , Philippe J., 1995. "Full Sample Maximum Likelihood Estimation of Dynamic Demand Models," LIDAM Discussion Papers CORE 1995049, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  6. Deschamps, P.J., 1992. "On the estimated variances of regression coefficients in misspecified error components models," Other publications TiSEM d0937309-75c2-411b-a9fa-f, Tilburg University, School of Economics and Management.
  7. Deschamps, P.J., 1990. "On Fractional Demand Systems And Budget Share Positivity," Papers 9016, Tilburg - Center for Economic Research.
  8. Deschamps, P.J., 1990. "Joint Tests For Regularity And Autocorrelation In Allocation Systems," Papers 9042, Tilburg - Center for Economic Research.
  9. Deschamps, P., 1990. "Expectations And Intertemporal Separability In An Empirical Model Of Consumption And Investment Under Uncertainty," Papers 9010, Tilburg - Center for Economic Research.
  10. DESCHAMPS, Philippe J., 1977. "Pricing for congestion in telephone networks: A numerical example," LIDAM Reprints CORE 286, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    repec:fri:dqewps:wp0016 is not listed on IDEAS
    repec:fri:dqewps:wp0015 is not listed on IDEAS
    repec:fri:dqewps:wp0007 is not listed on IDEAS
    repec:fri:dqewps:wp0002 is not listed on IDEAS

Articles

  1. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
  2. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
  3. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
  4. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.
  5. Philippe J. Deschamps, 2003. "Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 209-236.
  6. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.
  7. Deschamps, Philippe J., 1998. "Full maximum likelihood estimation of dynamic demand models," Journal of Econometrics, Elsevier, vol. 82(2), pages 335-359, February.
  8. Philippe J. Deschamps, 1996. "Monte Carlo Methodology for LM and LR Autocorrelation Tests in Multivariate Regression," Annals of Economics and Statistics, GENES, issue 43, pages 149-169.
  9. Deschamps, P J, 1993. "Joint Tests for Regularity and Autocorrelation in Allocation Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(2), pages 195-211, April-Jun.
  10. Deschamps, Philippe J, 1992. "Expectations and Intertemporal Separability in an Empirical Model of Consumption and Investment under Uncertainty," Empirical Economics, Springer, vol. 17(3), pages 419-450.
  11. Deschamps, Philippe J., 1991. "On the Estimated Variances of Regression Coefficients in Misspecified Error Components Models," Econometric Theory, Cambridge University Press, vol. 7(3), pages 369-384, September.
  12. Deschamps, Philippe J., 1988. "A note on the maximum likehood estimation of allocation systems," Computational Statistics & Data Analysis, Elsevier, vol. 6(2), pages 109-112, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.

    Mentioned in:

    1. Comparing smooth transition and Markov switching autoregressive models of US unemployment (Journal of Applied Econometrics 2008) in ReplicationWiki ()
  2. Deschamps, P J, 1993. "Joint Tests for Regularity and Autocorrelation in Allocation Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(2), pages 195-211, April-Jun.

    Mentioned in:

    1. Joint tests for regularity and autocorrelation in allocation systems (Journal of Applied Econometrics 1993) in ReplicationWiki ()

Working papers

  1. Deschamps, P. J., 1997. "Full maximum likelihood estimation of dynamic demand models," LIDAM Reprints CORE 1291, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Philippe J. Deschamps, 2003. "Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 209-236.
    2. Ali Hamid E., 2011. "Military Expenditures and Human Development: Guns and Butter Arguments Revisited: A Case Study from Egypt," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 17(1), pages 1-21, September.
    3. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.

  2. Deschamps, P. J., 1996. "Monte Carlo methodology for LM and LR autocorrelation tests in multivariate regression," LIDAM Reprints CORE 1234, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
    2. Jean-Marie DUFOUR & Lynda KHALAF & Marcel VOIA, 2013. "Finite-Sample Resampling-Based Combined Hypothesis Tests, with Applications to Serial Correlation and Predictability," Cahiers de recherche 13-2013, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    3. Jean-Marie Dufour & Lynda Khalaf & Marie-Claude Beaulieu, 2003. "Finite-Sample Diagnostics for Multivariate Regressions with Applications to Linear Asset Pricing Models," CIRANO Working Papers 2003s-34, CIRANO.
    4. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    5. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.

  3. Deschamps, P.J., 1990. "Joint Tests For Regularity And Autocorrelation In Allocation Systems," Papers 9042, Tilburg - Center for Economic Research.

    Cited by:

    1. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
    2. Deschamps, P. J., 1997. "Full maximum likelihood estimation of dynamic demand models," LIDAM Reprints CORE 1291, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. SCHROYEN, Fred, 2011. "Attitudes towards income risk in the presence of quantity constraints," LIDAM Discussion Papers CORE 2011020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    5. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.

  4. Deschamps, P., 1990. "Expectations And Intertemporal Separability In An Empirical Model Of Consumption And Investment Under Uncertainty," Papers 9010, Tilburg - Center for Economic Research.

    Cited by:

    1. Baye, M.R. & Kovenock, D. & de Vries, C.G., 1993. "It takes two to tango : Equilibria in a model of sales," Other publications TiSEM db7cea48-8632-4759-8ca4-e, Tilburg University, School of Economics and Management.
    2. Zou, L., 1993. "Ownership structure and efficiency : An incentive mechanism approach," Other publications TiSEM a72a05c2-b3f2-47c7-a003-f, Tilburg University, School of Economics and Management.
    3. Fershtman, C. & de Zeeuw, A.J., 1993. "Capital accumulation and entry deterrence : A clarifying note," Other publications TiSEM 8c7c65ba-40e5-42a4-96af-0, Tilburg University, School of Economics and Management.
    4. Verbon, H.A.A. & Verhoeven, M.J.M., 1993. "Decision making on pension schemes under rational expectations," Other publications TiSEM c3143bc8-ccb5-473d-9a6b-3, Tilburg University, School of Economics and Management.
    5. Almekinders, G.J. & Eijffinger, S.C.W., 1994. "Daily Bundesbank and federal reserve interventions : Are they a reaction to changes in the level and volatility of the DM/$-rate?," Other publications TiSEM 3e0ae3fa-af29-4757-aecb-a, Tilburg University, School of Economics and Management.
    6. Maschler, M. & Potters, J.A.M. & Tijs, S.H., 1993. "The general nucleolus and the reduced game property," Other publications TiSEM 82d1facc-c41b-4201-9595-d, Tilburg University, School of Economics and Management.
    7. Verbeek, M.J.C.M. & Nijman, T.E., 1993. "Incomplete panels and selection bias : A survey," Other publications TiSEM 08061352-957b-4f56-b303-9, Tilburg University, School of Economics and Management.
    8. Bovenberg, A.L., 1994. "Investment-promoting policies in open economies : The importance of intergenerational and international distributional effects," Other publications TiSEM be140a39-7a76-4f99-8a61-2, Tilburg University, School of Economics and Management.
    9. Bera, A.K. & Lee, S., 1993. "Information matrix test, parameter heterogeneity and ARCH : A synthesis," Other publications TiSEM bf71e9fe-03a8-48f0-8a72-0, Tilburg University, School of Economics and Management.

Articles

  1. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.

    Cited by:

    1. Tingguo Zheng & Han Xiao & Rong Chen, 2021. "Generalized Autoregressive Moving Average Models with GARCH Errors," Papers 2105.05532, arXiv.org.
    2. Tingguo Zheng & Han Xiao & Rong Chen, 2022. "Generalized autoregressive moving average models with GARCH errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(1), pages 125-146, January.
    3. Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Deniz Erdemlioglu & Sebastien Laurent & Christopher J. Neely, 2012. "Econometric modeling of exchange rate volatility and jumps," Working Papers 2012-008, Federal Reserve Bank of St. Louis.
    5. Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
    6. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2021. "Analytic moments for GJR-GARCH (1, 1) processes," International Journal of Forecasting, Elsevier, vol. 37(1), pages 105-124.
    7. Saralees Nadarajah & Bo Zhang & Stephen Chan, 2014. "Estimation methods for expected shortfall," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 271-291, February.
    8. Chen, Yan & Yu, Wenqiang, 2020. "Setting the margins of Hang Seng Index Futures on different positions using an APARCH-GPD Model based on extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    9. Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.

  2. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.

    Cited by:

    1. Song, Zefang & Song, Xinyuan & Li, Yuan, 2023. "Bayesian Analysis of ARCH-M model with a dynamic latent variable," Econometrics and Statistics, Elsevier, vol. 28(C), pages 47-62.
    2. de Pinho, Frank M. & Franco, Glaura C. & Silva, Ralph S., 2016. "Modeling volatility using state space models with heavy tailed distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 119(C), pages 108-127.
    3. T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.

  3. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.

    Cited by:

    1. Peter Congdon, 2022. "A Model for Highly Fluctuating Spatio-Temporal Infection Data, with Applications to the COVID Epidemic," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
    2. Di Caro, Paolo, 2014. "Testing and explaining economic resilience with an application to Italian regions," MPRA Paper 60298, University Library of Munich, Germany.
    3. Bilgili, Faik, 2012. "Linear and nonlinear TAR panel unit root analyses for solid biomass energy supply of European countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6775-6781.
    4. Panayiotis C. Andreou & Christodoulos Louca & Christos S. Savva, 2016. "Short-horizon event study estimation with a STAR model and real contaminated events," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 673-697, October.
    5. Sahin, Afsin, 2013. "Estimating Money Demand Function by a Smooth Transition Regression Model: An Evidence for Turkey," MPRA Paper 46851, University Library of Munich, Germany.
    6. Masayoshi Hayashi, 2012. "Forecasting Welfare Caseloads: The Case of the Japanese Public Assistance Program," CIRJE F-Series CIRJE-F-846, CIRJE, Faculty of Economics, University of Tokyo.
    7. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).
    8. José Pedro Bastos Neves & Willi Semmler, 2022. "Credit, output and financial stress: A non‐linear LVSTAR application to Brazil," Metroeconomica, Wiley Blackwell, vol. 73(3), pages 900-923, July.
    9. Eltejaei , Ebrahim & Montazeri Shoorekchali , Jalal, 2021. "Investigating the Relationship between Money Growth and Inflation in Turkey: A Nonlinear Causality Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 16(3), pages 305-322, September.
    10. Rocha, Jordano Vieira & Pereira, Pedro L. Valls, 2015. "Forecast comparison with nonlinear methods for Brazilian industrial production," Textos para discussão 397, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    11. Monica Billio & Laurent Ferrara & Dominique Guegan & Gian Luigi Mazzi, 2009. "Evaluation of Nonlinear time-series models for real-time business cycle analysis of the Euro area," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423890, HAL.
    12. Michael Dueker & Laura E. Jackson & Michael T. Owyang & Martin Sola, 2022. "A Time-Varying Threshold STAR Model with Applications," Department of Economics Working Papers 2022_04, Universidad Torcuato Di Tella.
    13. Gonzalo, Jesús & Taamouti, Abderrahim, 2011. "The reaction of stock market returns to anticipated unemployment," UC3M Working papers. Economics we1145, Universidad Carlos III de Madrid. Departamento de Economía.
    14. Fernando Delbianco & Andrés Fioriti & Fernando Tohmé, 2023. "Markov chains, eigenvalues and the stability of economic growth processes," Empirical Economics, Springer, vol. 64(3), pages 1347-1373, March.
    15. Dakyung Seong & Jin Seo Cho & Timo Teräsvirta, 2019. "Comprehensive Testing of Linearity against the Smooth Transition Autoregressive Model," CREATES Research Papers 2019-17, Department of Economics and Business Economics, Aarhus University.
    16. Jeremy Schwartz, 2012. "Labor market dynamics over the business cycle: evidence from Markov switching models," Empirical Economics, Springer, vol. 43(1), pages 271-289, August.
    17. Wai-Mun Chia & Mengling Li & Huanhuan Zheng, 2017. "Behavioral heterogeneity in the Australian housing market," Applied Economics, Taylor & Francis Journals, vol. 49(9), pages 872-885, February.
    18. Urom, Christian & Onwuka, Kevin O. & Uma, Kalu E. & Yuni, Denis N., 2020. "Regime dependent effects and cyclical volatility spillover between crude oil price movements and stock returns," International Economics, Elsevier, vol. 161(C), pages 10-29.
    19. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 1210, University of Nevada, Las Vegas , Department of Economics.
    20. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen Miller, 2010. "Forecasting Nevada Gross Gaming Revenue and Taxable Sales Using Coincident and Leading Employment Indexes," Working Papers 15-01, Eastern Mediterranean University, Department of Economics.
    21. Goodwin, Barry K. & Holt, Matthew T. & Prestemon, Jeffrey P., 2012. "Nonlinear exchange rate pass-through in timber products: the case of oriented strand board in Canada and the United States," MPRA Paper 40834, University Library of Munich, Germany.
    22. Donayre, Luiggi, 2022. "On the behavior of Okun's law across business cycles," Economic Modelling, Elsevier, vol. 112(C).
    23. Glen Livingston & Darfiana Nur, 2020. "Bayesian inference of smooth transition autoregressive (STAR)(k)–GARCH(l, m) models," Statistical Papers, Springer, vol. 61(6), pages 2449-2482, December.
    24. Marianna Oliskevych & Iryna Lukianenko, 2020. "European unemployment nonlinear dynamics over the business cycles: Markov switching approach," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 22(4), pages 375-401.
    25. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
    26. Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "International R&D spillovers, absorptive capacity and relative backwardness: a panel smooth transition regression model," Department of Economics Working Papers 1203, Department of Economics, University of Trento, Italia.
    27. Gonzalo Jesús & Taamouti Abderrahim, 2017. "The reaction of stock market returns to unemployment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-20, September.
    28. Ringwald, Leopold & Zörner, Thomas O., 2023. "The money-inflation nexus revisited," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 293-333.
    29. Dibooglu, Sel & Erdogan, Seyfettin & Yildirim, Durmus Cagri & Cevik, Emrah Ismail, 2020. "Financial conditions and monetary policy in the US," Economic Systems, Elsevier, vol. 44(4).
    30. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
    31. DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," LIDAM Discussion Papers CORE 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    32. Anoop Chaturvedi & Shivam Jaiswal, 2020. "Bayesian Estimation and Unit Root Test for Logistic Smooth Transition Autoregressive Process," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 733-745, December.
    33. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
    34. Gonzalo, Jesús & Taamouti, Abderrahim, 2012. "The reaction of stock market returns to anticipated unemployment," UC3M Working papers. Economics we1237, Universidad Carlos III de Madrid. Departamento de Economía.
    35. Dalla, Violetta & Giraitis, Liudas & Robinson, Peter M., 2020. "Asymptotic theory for time series with changing mean and variance," Journal of Econometrics, Elsevier, vol. 219(2), pages 281-313.
    36. Gonzalo, Jesús & Taamouti, Abderrahim, 2017. "The Reaction of Stock Market Returns to Unemployment," UC3M Working papers. Economics 24120, Universidad Carlos III de Madrid. Departamento de Economía.
    37. Donayre, Luiggi & Panovska, Irina, 2016. "Nonlinearities in the U.S. wage Phillips curve," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 19-43.
    38. Glen Livingston Jr & Darfiana Nur, 2020. "Bayesian estimation and model selection of a multivariate smooth transition autoregressive model," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.

  4. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.

    Cited by:

    1. Tomasz Wozniak, 2012. "Testing Causality Between Two Vectors in Multivariate GARCH Models," Department of Economics - Working Papers Series 1139, The University of Melbourne.
    2. Balcombe, Kelvin & Fraser, Iain, 2017. "Do bubbles have an explosive signature in markov switching models?," Economic Modelling, Elsevier, vol. 66(C), pages 81-100.
    3. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    4. Tomasz Wozniak, 2015. "Granger-causal analysis of GARCH models: a Bayesian approach," Department of Economics - Working Papers Series 1194, The University of Melbourne.
    5. Tomasz Wozniak, 2012. "Granger-causal analysis of VARMA-GARCH models," Economics Working Papers ECO2012/19, European University Institute.
    6. David Ardia & Lennart F. Hoogerheide, 2010. "Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations," Tinbergen Institute Discussion Papers 10-045/4, Tinbergen Institute.
    7. Ardia, David, 2009. "Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations in R," MPRA Paper 17414, University Library of Munich, Germany.
    8. DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," LIDAM Discussion Papers CORE 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  5. Philippe J. Deschamps, 2003. "Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 209-236.

    Cited by:

    1. Toshinobu Matsuda, 2007. "Linearizing the inverse quadratic almost ideal demand system," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 381-396.
    2. SCHROYEN, Fred, 2011. "Attitudes towards income risk in the presence of quantity constraints," LIDAM Discussion Papers CORE 2011020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.
    4. Mazzocchi, Mario & Lobb, Alexandra E., 2005. "A Latent-Variable Approach to Modelling Multiple and Resurgent Meat Scares in Italy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24509, European Association of Agricultural Economists.
    5. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
    6. Ripamonti, Alexandre, 2013. "Rational Valuation Formula (RVF) and Time Variability in Asset Rates of Return," MPRA Paper 79460, University Library of Munich, Germany.
    7. Mario Mazzocchi & Davide Delle Monache & Alexandra Lobb, 2006. "A structural time series approach to modelling multiple and resurgent meat scares in Italy," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1677-1688.
    8. Blazej Mazur, 2006. "Imposing Economic Restrictions in a VECM-form Demand System," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 269-280.

  6. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.

    Cited by:

    1. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.
    2. Philippe J. Deschamps, 2003. "Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 209-236.
    3. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.
    4. Hanrahan, Kevin F. & Westhoff, Patrick C. & Young, Robert E., II, 2001. "Trade Allocation Modeling: Comparing The Results From Armington And Locally Regular Ai Demand System Specifications Of A Uk Beef Import Demand Allocation Model," 2001 Annual meeting, August 5-8, Chicago, IL 20510, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  7. Deschamps, Philippe J., 1998. "Full maximum likelihood estimation of dynamic demand models," Journal of Econometrics, Elsevier, vol. 82(2), pages 335-359, February.
    See citations under working paper version above.
  8. Philippe J. Deschamps, 1996. "Monte Carlo Methodology for LM and LR Autocorrelation Tests in Multivariate Regression," Annals of Economics and Statistics, GENES, issue 43, pages 149-169.
    See citations under working paper version above.
  9. Deschamps, P J, 1993. "Joint Tests for Regularity and Autocorrelation in Allocation Systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(2), pages 195-211, April-Jun.
    See citations under working paper version above.
  10. Deschamps, Philippe J, 1992. "Expectations and Intertemporal Separability in an Empirical Model of Consumption and Investment under Uncertainty," Empirical Economics, Springer, vol. 17(3), pages 419-450.
    See citations under working paper version above.
  11. Deschamps, Philippe J., 1988. "A note on the maximum likehood estimation of allocation systems," Computational Statistics & Data Analysis, Elsevier, vol. 6(2), pages 109-112, March.

    Cited by:

    1. Pendakur, Krishna & Scholz, Michael & Sperlich, Stefan, 2010. "Semiparametric indirect utility and consumer demand," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2763-2775, November.
    2. Deschamps, P. J., 1997. "Full maximum likelihood estimation of dynamic demand models," LIDAM Reprints CORE 1291, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Deschamps, P.J., 1994. "Joint tests for regularity and autocorrelation in allocation systems," Other publications TiSEM 559779eb-2251-4eed-840f-7, Tilburg University, School of Economics and Management.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  2. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors
  3. Record of graduates

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (6) 2004-07-26 2007-06-02 2009-12-19 2011-11-14 2016-03-17 2017-02-12. Author is listed
  2. NEP-ETS: Econometric Time Series (5) 2007-06-02 2009-12-19 2011-11-14 2016-03-17 2017-02-12. Author is listed
  3. NEP-FOR: Forecasting (4) 2007-06-02 2009-12-19 2011-11-14 2017-02-12
  4. NEP-ORE: Operations Research (2) 2016-03-17 2017-02-12
  5. NEP-LAB: Labour Economics (1) 2007-06-02
  6. NEP-MAC: Macroeconomics (1) 2007-06-02

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